Climate Mathematics

Theory and Applications

Samuel S. P. Shen, Richard C. J. Somerville

• Publisher: Cambridge University Press
• Year: 2019
• Print ISBN:
  9781108476874
• eBook ISBN:
  9781108750189
• Topic: Physical Sciences
• Subtopic: Meteorology & Climatology

This unique text provides a thorough, yet accessible, grounding in the mathematics, statistics, and programming that students need to master for coursework and research in climate science, meteorology, and oceanography. Assuming only high school mathematics, it presents carefully selected concepts and techniques in linear algebra, statistics, computing, calculus and differential equations within the context of real climate science examples. Computational techniques are integrated to demonstrate how to visualize, analyze, and apply climate data, with R code featured in the book and both R and Python code available online. Exercises are provided at the end of each chapter with selected solutions available to students to aid self-study and further solutions provided online for instructors only. Additional online supplements to aid classroom teaching include datasets, images, and animations. Guidance is provided on how the book can support a variety of courses at different levels, making it a highly flexible text for undergraduate and graduate students, as well as researchers and professional climate scientists who need to refresh or modernize their quantitative skills.

Table of contents

• Cover
• Half-title
• Title page
• Copyright information
• Dedication
• Contents
• Preface
• Acknowledgements
• Main Symbols and Acronyms
• 1 Dimensional Analysis for Climate Science
• 2 Basics of R Programming
• 3 Basic Statistical Methods for Climate Data Analysis
• 4 Climate Data Matrices and Linear Algebra
• 5 Energy Balance Models for Climate
• 6 Calculus Applications to Climate Science I: Derivatives
• 7 Calculus Applications to Climate Science II: Integrals
• 8 Conservation Laws in Climate Dynamics
• 9 R Graphics for Climate Science
• 10 Advanced R Analysis and Plotting: EOFs, Trends, and Global Data
• 11 R Analysis of Incomplete Climate Data
• Appendix A Dot Product of Two Vectors
• Appendix B Cross Product of Two Vectors
• Appendix C Spherical Coordinates
• Appendix D Calculus Concepts and Methods for Climate Science
• Appendix E Sample Solutions to the Climate Mathematics Exercises
• Glossary
• Index